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Apple Unveils New MacBook Air Models with M4 Chip and AI Features, Cuts Prices

Apple introduced its latest MacBook Air models on Wednesday, featuring the new M4 chip with artificial intelligence capabilities, and slashed prices by $100 compared to the previous generation. The base version of the 13-inch MacBook Air will start at $999, while the 15-inch model will be priced at $1,199. Pre-orders for the new models began on Wednesday, and they will be available in stores starting March 12.

This new launch is part of Apple’s strategy to boost sales and entice customers to upgrade their devices. The integration of AI-powered features, including access to ChatGPT, allows users to compose emails, edit photos, and perform various tasks more efficiently. These AI tools, which debuted on Apple’s iPhones last year, have been expanding across different languages and regions to attract a broader user base.

In addition to the new MacBook Air models, Apple also introduced its M3 Ultra processor, designed to deliver superior performance compared to previous Apple silicon chips. This processor will be an option for the newly unveiled Mac Studio, aimed at AI developers and creative professionals such as video and photo editors. The Mac Studio, starting at $1,999, will offer enhanced processing capabilities, supporting large language models with over 600 billion parameters.

The new Mac Studio configurations with the M3 Ultra chip will feature at least 96GB of memory, while those with the M4 Max chip will come with a minimum of 36GB of memory.

OpenAI Responds to Elon Musk’s Takeover Bid, Claims It Conflicts with His Lawsuit

Elon Musk’s recent bid to purchase OpenAI, valued at $97.4 billion, has raised significant legal and ethical concerns, according to a letter the company submitted to a federal court on Wednesday. The bid, led by Musk and a consortium of investors, aims to acquire the assets of OpenAI’s nonprofit arm. However, this offer directly contradicts Musk’s own lawsuit filed earlier this year, in which he argues that OpenAI’s assets should not be privately acquired or used for personal gain. OpenAI’s response highlights the inconsistency between Musk’s legal actions and his current acquisition proposal.

In August, Musk filed a lawsuit against OpenAI CEO Sam Altman and other company executives, seeking to block the nonprofit’s transition to a for-profit model. Musk contends that OpenAI’s resources and intellectual property should remain within a charitable trust and be used solely for the public good. However, in a twist, his takeover bid appears to be aimed at transferring those very assets into private hands, raising questions about his true intentions regarding OpenAI’s future.

The letter submitted by OpenAI accuses Musk of hypocrisy, suggesting that his bid is an attempt to weaken a competitor under the guise of acquiring it. OpenAI argues that Musk’s move is contradictory, as it seeks to secure private control over the company’s valuable assets despite his public stance against such privatization. The company further emphasized that Musk’s actions appear to be part of an ongoing strategy to influence the AI sector, especially in light of his prior legal battles with OpenAI.

At the time of writing, Musk’s representatives had not responded to requests for comment regarding OpenAI’s letter or the broader legal implications of his acquisition attempt. The situation remains fluid, as the court will soon have to address the complex issues raised by Musk’s contradictory actions. This conflict between Musk’s legal pursuits and business interests is set to be a key point of contention in the ongoing saga surrounding OpenAI’s future direction.

OpenAI Unveils Deep Research in ChatGPT, an AI Agent Capable of Conducting Multi-Step Research

OpenAI has introduced a groundbreaking new AI agent within ChatGPT, known as Deep Research, which can autonomously perform multi-step research on complex topics. This new feature, designed for research-intensive tasks, allows ChatGPT Pro users to access an advanced tool capable of conducting in-depth investigations across the internet. Powered by one of OpenAI’s o3 AI models, Deep Research promises to significantly streamline the process of conducting detailed research, which would typically take humans hours, completing it in just a fraction of that time. This addition marks a significant leap forward in AI’s ability to assist with high-level research tasks.

Deep Research is tailored to users engaged in intensive research, especially those in fields like finance, science, policy, and engineering. The AI agent can be used for projects that require comprehensive exploration of various sources, helping users gather the necessary data more efficiently. Additionally, it can be useful for those looking for highly personalized recommendations for large-scale purchases such as cars, furniture, or home appliances, which often involve substantial research. This tool is designed to be an invaluable asset for individuals and professionals who require in-depth, accurate information across a range of industries.

The Deep Research feature is currently available to ChatGPT Pro users, appearing as a button beneath the text field next to the Search icon. To activate it, users simply need to type their query and click on the icon. Once initiated, the AI agent will engage with the user by asking follow-up questions to clarify preferences or gather further details about the research requirements. Users can even upload files to provide additional context, ensuring the research is as relevant and personalized as possible.

Once the agent receives the necessary information, it will begin the research process, and users can track its progress through a thin bar indicating the completion. A sidebar will display a summary of the steps taken and the sources used during the research. Depending on the complexity of the task, the research output can take anywhere from five to 30 minutes to compile, culminating in a comprehensive report that delivers the results in an easy-to-understand format. This new capability positions ChatGPT as a powerful tool for those in need of deep, methodical research assistance.